Understanding the Intersection of Social Inequities to Optimize Health and Reduce Health Disparities: The Axes Initiative (R01 Clinical Trial Optional)
The Axes Initiative funds research on how intersecting social inequities like race, class, and orientation impact health and create disparities.
This grant is no longer accepting proposals
National Institutes of Health has archived this opportunity.
Funder: National Institutes of Health (NIH) - https://www.nih.gov
Due Dates: March 10, 2025 (Next due date)
Funding Amounts: Up to $500,000 total costs per year; typical R01 award duration
Summary: Supports research on how intersecting social inequities (e.g., race, socioeconomic status, sexual orientation, ability) impact health and contribute to disparities.
Key Information: Clinical trial optional; broad eligibility including academic, nonprofit, government, and for-profit organizations; requires detailed NIH application forms (Forms Version H).
Description
The Axes Initiative is a funding opportunity from the National Institutes of Health (NIH) aimed at supporting research that investigates how intersecting social inequities—such as race, ethnicity, socioeconomic status, sexual orientation, and ability—affect health outcomes and contribute to health disparities. This initiative recognizes that overlapping systems of privilege and oppression create and sustain unjust variations in health across populations.
Research supported under this initiative should focus on understanding health at these intersections by examining the contributions of social determinants and other factors influencing health disparities. The initiative encourages rigorous scientific approaches to uncover mechanisms and pathways through which social inequities impact health, with the goal of informing interventions and policies to optimize health and reduce disparities.
The funding mechanism is an R01 research project grant, with clinical trials being optional. Applicants must follow NIH’s detailed application instructions using Forms Version H, which includes comprehensive requirements for human subjects, vertebrate animals, budget, and data management plans.
